Take Home Assignment Part 1

by SAHIL NAIR

1. Reading the data

Objective: To understand the data set

Insights.1

2. General overview of data and basic analaysis

To identify specific patterns in order to decide how to trim the datat set as per my analysis

Insights.2

3. Doing preliminary cleaning of the Melbourne Airbnb dataset

Based on the insights of section 2, the raw data will be cleaned for further analysis

Insights.3

4. Spacific data manipulations and calculating occupancy rate and monthly income

Further cleaning and extracting more information from the existing dataset and store in a new columns

Insights.4

5. Visualizing monthly rental income, listing type and occupancy rate for Melbournes neighbourhoods through Altair

Gaining deeper insights into our cleaned Melbourne data through visual plotting

Insights.5

6. Integrating Airbnb's tabular data with spatial data of Melbourne's neighbourhoods to performing relevant analysis and to used for creating maps

To understand the geographic data, make changes and add columns for further analysis

Insights.6

7. Identifying and analysing geogrpahic patterns for Melbourne city Airbnb listings via cloropleth and folium maps

To get a better geographic understanding of the Melbourne city airbnb listings

Insights.7